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Calculate SaaS revenue, retention, and growth metrics. Use when diagnosing momentum, churn, expansion, or product-market-fit signals.
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Evaluate acquisition channels using unit economics, customer quality, and scalability. Use when deciding whether to scale, test, or kill a growth channel.
Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.
Diagnose SaaS business health across growth, retention, efficiency, and capital. Use when preparing a business review or prioritizing urgent fixes.
SOC 職業分類に基づく
SKILL.md を表示中
| name | saas-revenue-growth-metrics |
| description | Calculate SaaS revenue, retention, and growth metrics. Use when diagnosing momentum, churn, expansion, or product-market-fit signals. |
| intent | Master revenue and retention metrics to understand SaaS business momentum, evaluate product-market fit, and make data-driven decisions about growth investments. Use this to calculate key metrics, interpret trends, identify problems early, and communicate business health to stakeholders. |
| type | component |
| theme | finance-metrics |
| best_for | ["Understanding your key revenue and retention metrics","Calculating MRR, ARR, churn, and NRR correctly","Building a metrics dashboard for your SaaS product"] |
| scenarios | ["I need to calculate and interpret our MRR, churn rate, and NRR for a board deck","Help me understand the difference between gross and net revenue retention and how to improve it"] |
| estimated_time | 10-15 min |
Master revenue and retention metrics to understand SaaS business momentum, evaluate product-market fit, and make data-driven decisions about growth investments. Use this to calculate key metrics, interpret trends, identify problems early, and communicate business health to stakeholders.
This is not a business intelligence tool—it's a framework for PMs to understand which metrics matter, how to calculate them correctly, and what actions to take based on the numbers.
The "top-line" metrics that measure how much money the business generates.
Revenue — Total money earned from selling products/services before expenses. The "top line" of the income statement.
ARPU (Average Revenue Per User) — Average revenue generated per individual user.
Total Revenue / Total UsersARPA (Average Revenue Per Account) — Average revenue generated per customer account.
MRR / Active AccountsARPA/ARPU Analysis — Using both metrics together to understand monetization.
ACV (Annual Contract Value) — Annualized recurring revenue per contract (excludes one-time fees).
Annual Recurring Revenue per Contract (don't include setup fees, professional services)MRR/ARR (Monthly/Annual Recurring Revenue) — Predictable recurring revenue normalized to monthly or annual.
MRR = Sum of all recurring subscription revenue per month; ARR = MRR × 12Gross vs. Net Revenue — Gross revenue before vs. net revenue after discounts, refunds, credits.
Net Revenue = Gross Revenue - Discounts - Refunds - CreditsMetrics that measure how well you keep and grow existing customers.
Churn Rate — Percentage of customers who cancel in a period.
Customers Lost in Period / Starting CustomersNRR (Net Revenue Retention) — Revenue retention from existing customers including expansion and contraction.
(Starting ARR + Expansion - Churn - Contraction) / Starting ARR × 100Expansion Revenue — Additional revenue from existing customers (upsells, cross-sells, usage growth).
Sum of upsells + cross-sells + usage increases from existing customersQuick Ratio (SaaS) — Revenue gains vs. revenue losses.
(New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)Revenue Mix Analysis — Breakdown of revenue by product, segment, or channel.
Product/Segment Revenue / Total Revenue × 100Cohort Analysis — Group customers by join date and track behavior over time.
Use these when:
Don't use these when:
Use the templates in template.md to calculate your core revenue metrics.
Revenue = Sum of all customer payments in period
Example:
Quality checks:
ARPU = Total Revenue / Total Users
Example:
Quality checks:
ARPA = MRR / Active Accounts
Example:
Quality checks:
ARPA = MRR / Active Accounts
ARPU = MRR / Total Users
Average Seats per Account = ARPA / ARPU
Example:
Quality checks:
ACV = Annual Recurring Revenue per Contract
(Exclude one-time fees like setup, professional services)
Example:
Quality checks:
MRR = Sum of all recurring monthly subscriptions
ARR = MRR × 12
Track components:
- New MRR (from new customers)
- Expansion MRR (from upsells/cross-sells)
- Churned MRR (from lost customers)
- Contraction MRR (from downgrades)
Example:
Quality checks:
Net Revenue = Gross Revenue - Discounts - Refunds - Credits
Example:
Quality checks:
Logo Churn Rate = Customers Lost / Starting Customers × 100
Revenue Churn Rate = MRR Lost / Starting MRR × 100
Example (Logo Churn):
Example (Revenue Churn):
Quality checks:
Convert monthly to annual:
Annual Churn = 1 - (1 - Monthly Churn)^12NRR = (Starting ARR + Expansion - Churn - Contraction) / Starting ARR × 100
Example:
Quality checks:
Expansion Revenue = Upsells + Cross-sells + Usage Growth (from existing customers)
Example:
Quality checks:
Quick Ratio = (New MRR + Expansion MRR) / (Churned MRR + Contraction MRR)
Example:
Quality checks:
Product/Segment % = Product/Segment Revenue / Total Revenue × 100
Example:
Quality checks:
Group customers by when they joined and track metrics over time.
Example:
| Cohort | Month 0 | Month 1 | Month 2 | Month 3 | Month 6 |
|---|---|---|---|---|---|
| Jan 2024 | 100% | 95% | 92% | 90% | 85% |
| Feb 2024 | 100% | 94% | 90% | 87% | 80% |
| Mar 2024 | 100% | 92% | 86% | 82% | - |
Quality checks:
Before reporting metrics, validate:
Revenue metrics:
Retention metrics:
Analysis:
See examples/ folder for detailed scenarios. Mini examples below:
Company: Mid-market project management SaaS
Revenue Metrics:
Retention Metrics:
Analysis:
Action: Scale acquisition. Unit economics are strong.
Company: SMB marketing automation SaaS
Revenue Metrics:
Retention Metrics:
Cohort Analysis:
| Cohort | Month 6 Retention |
|---|---|
| 6 months ago | 75% |
| 3 months ago | 65% |
| Current | 58% |
Analysis:
Action: STOP scaling acquisition. Fix retention first. Investigate:
Company: Multi-product SaaS platform
Blended Metrics Look Great:
But Revenue Mix Analysis Shows:
| Product | Revenue | % of Total | Growth | Churn | NRR |
|---|---|---|---|---|---|
| Legacy Product | $2M | 67% | -5% MoM | 8% | 75% |
| New Product | $1M | 33% | +80% MoM | 1% | 150% |
Analysis:
Action: Accelerate migration from legacy to new product. Plan for legacy product sunset.
Symptom: "We grew revenue 50% this year, we're crushing it!"
Consequence: Revenue is the top line, not bottom line. You might be growing at a loss, destroying margins, or scaling unprofitable products.
Fix: Always pair revenue metrics with margin metrics (see saas-economics-efficiency-metrics). $1M revenue at 80% margin >> $2M revenue at 20% margin.
Symptom: "ARPU increased 30%!" (but customer count dropped 40%)
Consequence: ARPU rose because you lost all your small customers, not because you improved monetization.
Fix: Analyze ARPU by cohort and segment. True ARPU improvement = same customers paying more, not losing cheap customers.
Symptom: "Blended churn is stable at 3%"
Consequence: Blended metrics can hide that new cohorts churn at 6% while old cohorts churn at 1%. Product-market fit is degrading.
Fix: Always analyze retention by cohort. If newer cohorts perform worse, stop scaling and fix the product.
Symptom: "Logo churn is only 2%, we're great!"
Consequence: You might be losing 2% of customers but 10% of revenue if you're churning large customers.
Fix: Track both logo churn AND revenue churn. If revenue churn > logo churn, you're losing high-value customers.
Symptom: "We lost 50 customers this month" (no context on who)
Consequence: Losing 50 small customers ($10/month) is different from losing 50 enterprise customers ($10K/month).
Fix: Segment churn analysis by customer size, cohort, and reason. Weight by revenue impact, not just logo count.
Symptom: "3% monthly churn is fine, that's only 36% annually"
Consequence: Churn compounds. 3% monthly = 31% annual churn, not 36%. Math: 1 - (1 - 0.03)^12 = 31%.
Fix: Use the correct formula when converting monthly to annual churn. Don't just multiply by 12.
Symptom: "Gross revenue is up 20%!" (but discounts/refunds doubled)
Consequence: Net revenue might be flat or shrinking. Discounts hide pricing power problems; refunds hide product quality issues.
Fix: Always track gross AND net revenue. If discounts >20% or refunds >10%, investigate why.
Symptom: "NRR is 105%, we're expanding!"
Consequence: NRR can be >100% just from very low churn, without meaningful expansion. True expansion-driven NRR is >120%.
Fix: Break down NRR into components: expansion MRR vs. churned/contracted MRR. Aim for expansion-driven NRR, not just low churn.
Symptom: "We're at $10M ARR!" (but $5M is from one customer)
Consequence: Losing that one customer cuts revenue in half. Roadmap becomes hostage to one customer's requests.
Fix: Track revenue concentration. Ideal: Top customer <10% of revenue, Top 10 customers <40%. Diversify early.
Symptom: "Our ARPU is $100" (average of $10 SMB and $1,000 enterprise)
Consequence: Blended ARPU hides segment economics. Can't make smart acquisition or product decisions.
Fix: Calculate ARPU/ARPA by segment (SMB, mid-market, enterprise). Optimize each segment independently.
saas-economics-efficiency-metrics — Unit economics (CAC, LTV, margins, burn rate)finance-metrics-quickref — Fast lookup for all metricsfeature-investment-advisor — Uses revenue metrics to evaluate feature ROIfinance-based-pricing-advisor — Uses ARPU/ARPA to evaluate pricing changesbusiness-health-diagnostic — Uses revenue/retention metrics to diagnose business healthresearch/finance/Finance for Product Managers.mdresearch/finance/Finance_QuickRef.mdresearch/finance/Finance_Metrics_Additions_Reference.md